Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

Healthcare registry data can show early risk patterns for melanoma skin cancer, according to a study from the University of ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...